出来社会工作几年后,还能签证出国吗,类似卢森堡,澳大利亚这种国家,要怎么办理手续呀? 📮投稿 ☘️频道 🐧聊天

Channel
万事屋🗳️有问必答
@WantAnswer
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
62,416subscribers
+9,170 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002166345633 |
|---|---|
| Type | Channel |
| Username | @WantAnswer |
| Description | 禁止涉及隐私、交易、兼职、黑灰产、业务类内容投稿。 不一定能找到答案,但希望能有所收获。 问题来自于群友投稿,希望可以集思广益,重在参与,打破信息差。 📮投稿 @WantAnswerBot |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/WantAnswer |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 86% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 11:41 | 62,416 | +1,005 |
| 18 Sept 2026, 22:41 | 61,411 | +449 |
| 16 Sept 2026, 11:00 | 60,962 | +273 |
| 14 Sept 2026, 18:40 | 60,689 | +329 |
| 13 Sept 2026, 03:56 | 60,360 | +318 |
| 11 Sept 2026, 07:18 | 60,042 | +464 |
| 8 Sept 2026, 12:38 | 59,578 | +631 |
| 5 Sept 2026, 09:15 | 58,947 | +306 |
| 3 Sept 2026, 12:18 | 58,641 | +267 |
| 2 Sept 2026, 02:58 | 58,374 | +231 |
| 1 Sept 2026, 01:08 | 58,143 | +138 |
| 31 Aug 2026, 01:43 | 58,005 | +166 |
| 30 Aug 2026, 02:55 | 57,839 | +185 |
| 29 Aug 2026, 01:18 | 57,654 | +198 |
| 27 Aug 2026, 23:14 | 57,456 | +185 |
| 27 Aug 2026, 01:08 | 57,271 | +202 |
| 26 Aug 2026, 03:54 | 57,069 | +216 |
| 25 Aug 2026, 04:03 | 56,853 | +258 |
| 23 Aug 2026, 22:45 | 56,595 | +380 |
| 22 Aug 2026, 04:15 | 56,215 | first reading |
Engagement
1,110 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 105 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.98%
- avg views ÷ 62,416 subscribers
- Avg views / post
- 1,240
- 608 posts measured
- Reaction rate
- 0.146%
- reactions ÷ views · ER floor
- Posts in window
- 608
- of 1,110 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 314 of 608 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 1,110 (6 August 2026 – 27 September 2026) |
| Views total | 753,150 |
| Reactions total | 580 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 03:43 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- ≈223
- Videos
- ≈2
- Links
- ≈7,130
Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
770 reactions across 364 posts, in 21 distinct kinds. The most used accounts for 56.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 437 | 56.8% | |
| ❤ | 224 | 29.1% | |
| 🤣 | 41 | 5.32% | |
| 🤡 | 19 | 2.47% | |
| 👎 | 10 | 1.30% | |
| 😁 | 9 | 1.17% | |
| 👏 | 5 | 0.649% | |
| 💊 | 3 | 0.39% | |
| 😭 | 3 | 0.39% | |
| 🤔 | 3 | 0.39% | |
| 🥰 | 3 | 0.39% | |
| 🖕 | 2 | 0.26% | |
| 😱 | 2 | 0.26% | |
| 🤯 | 2 | 0.26% | |
| ⚡ | 1 | 0.13% | |
| 🍌 | 1 | 0.13% | |
| 🎉 | 1 | 0.13% | |
| 🔥 | 1 | 0.13% | |
| 😇 | 1 | 0.13% | |
| 🤗 | 1 | 0.13% | |
| 1 further kind | 1 | 0.13% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 440 of the 1,000 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 770 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 11 August 2026 to 27 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
- Stars received
- 10
- across the posts below
- Posts paid on
- 9
- of 1,000 we hold a reading for · 0.9%
- Most on one post
- 2
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @WantAnswer. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 11 August 2026 to 27 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
各位,本人93的土木专业男性,现在从事结构设计工作。感觉公司随时会断项目裁员,如果考虑转行的话,可以往那方面考虑呢?好提前做准备。 📮投稿 ☘️频道 🐧聊天
👍1
想问下大家b站视频推流的那些短文,有什么渠道可以检索获得吗,每次一不小心就想看下去,但一章一个广告有点太慢了 📮投稿 ☘️频道 🐧聊天
👍3
在推上刷到的帖子。 据贴主说这个bg在美只有小厂,国内只有阿里、华为和某车企给面试(贴主自认为阿里过不了),目前接近找不到工作的状态。 有无从业大佬讲讲行情以及当下CS学生就业现状,在校生极度焦虑ing🙈 📮投稿 ☘️频道 🐧聊天
❤3👍2
各位大佬,本人订阅gpt plus是主要拿来生图,但是现在我想拿codex来破解一些本地应用(本人不具备专业编程背景,纯ai coding,性质偏向于娱乐),之前在破解一个本地播放器软件的时候被邮件警告cyber abuse了,想问问看有什么方法能绕过道德限制 📮投稿 ☘️频道 🐧聊天
👍3
现在的自动化硕士毕业究竟干啥有前途?本人211本985硕,硕士方向很偏,雷达+AI,基本不考虑靠硕士方向找工作,目前主要是犹豫往Agent方向发展还是往嵌入式方向发展,感觉Agent的方向能追热点,但感觉比较飘,热点没了可能也不好找工作,而且感觉干的东西没啥壁垒,是不是很容易被替代。干Linux感觉情况可能会好点,能有点技术壁垒,但是目前也有人跟我说Linux方向也不好找工作。哎,很迷茫,不知道怎么办 📮投稿 ☘️频道 🐧聊天
大哥大姐们,小弟马上要外派东南亚,估计是要常驻了,想搞个电脑去玩。想问下是买笔记本电脑好,还是国内配好运过去?或者当地去配? 📮投稿 ☘️频道 🐧聊天
❤1
怎么去掉ai视频水印,用啥软件比较合适。有人教教我吗? 📮投稿 ☘️频道 🐧聊天
👍2
九号电摩m95c解绑后没有nfc卡没有机械钥匙 怎么能重新绑啊打不开了 我现在想哭 问别人要300多块钱 我真的不想活了 有没有那个大哥能帮帮忙啊 我真的第一次想自杀了 📮投稿 ☘️频道 🐧聊天
🤣6👍2
大哥大姐们,本人在东北小县城,无一技之长想摆个地摊卖小吃,有什么推荐的吗 📮投稿 ☘️频道 🐧聊天
👍2
大佬们,本人27了,今年硕士毕业,但是本专业的知识学的不是很懂,本科自动化硕士控制工程,硕士是搞无人机仿真,实际软硬件接触的不多,研究生毕业压力大,自身性格属于内向那挂,秋招春招都没投,现在毕业了也不敢投,不知道自己会干啥,对什么都没兴趣,现在躺在家里学本专业的东西,但是知识太多而且自身没啥动力,导致越学越崩溃,求求大佬指点迷津,怎么迈出社会化的第一步 📮投稿 ☘️频道 🐧聊天
👍5
目前人在浙江一家工厂过渡,本科三本计算机专业,今年刚毕业,毕业到现在大概3个月。 我知道自己家庭没什么背景,家里也没什么可以长期依靠的资产,自己的学历也比较普通。再加上我本科期间技术基础也比较一般,和真正科班、技术能力强的人去卷开发,我觉得自己没有什么优势。 所以现在主要在考虑下面几条路: 1. 花钱读一年制三管轮,毕业后跑远洋 这是我目前比较想走的路线。原因是我觉得自己可能不适合一直卷纯技术,跑船虽然辛苦、长期离家,但工作模式和收入相对明确,我比较倾向于这种靠自己劳动换收入的路线。 但我也有顾虑。我一个老同学是科班大专航海技术,实习跑完一条船之后就不跑了,现在回去当保安。所以我也知道跑船并不是学完就一定能坚持,自己到底能不能适应船上的生活也是个问题。 2. 回深圳继续做IT相关工作,但不走纯开发 因为我知道自己技术基础比较弱,直接和别人卷Java开发、算法这些路线,我觉得竞争力不强。 所以如果继续留在IT行业,…
❤2
Showing the 12 most recent of 1,110 posts we hold for @WantAnswer. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Mentions
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 September 2026 — this entry's latest reading, not the date you are reading this.
“万事屋🗳️有问必答” (@WantAnswer), 62,416 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/WantAnswer.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.